Senior Forward Deployed Engineer

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Qualytics

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2020

🔌 API

🤖 Artificial Intelligence

☁️ SaaS

API • Artificial Intelligence • SaaS

Qualytics is a data quality platform that automates and refines data quality controls for enterprises. It provides advanced workflows that integrate into existing data stacks, allowing for centralized management of data quality checks and empowering business users with low/no-code solutions. With features like automated anomaly detection and data reconciliation, Qualytics enhances data confidence and enables scalable governance for organizations of any size.

📋 Description

• Own the full customer lifecycle, including onboarding, enablement, engagement, retention, and expansion • Serve as the strategic point of contact for a portfolio of enterprise customers • Lead Customer Objective Reviews to align stakeholders on goals, metrics, and measurable outcomes • Partner with Sales to identify opportunities and drive renewals and expansion through demonstrated value • Support pre-sales and proof-of-concept efforts by mapping customer business needs to product capabilities • Act as the voice of the customer internally, influencing Product and Engineering with structured, actionable feedback • Work closely with Sales, Product, Engineering, Solutions Engineering, and founders • Help shape how Qualytics scales its processes, documentation, and tooling

🎯 Requirements

• 5+ years in a strategic, customer-facing role such as Customer Success, Forward Deployed Engineering, Strategic Account Management, or Client Partner, preferably in B2B SaaS • Experience managing complex enterprise relationships, ideally including Fortune 500 organizations • Ability to build executive relationships, align on business value, and maintain customer health over time • Exceptional communication skills and ability to translate business objectives into actionable technical conversations • Ability to explain how technical features and capabilities support strategic goals • Comfortable working cross-functionally across Sales, Product, and Engineering in fast-moving environments • Strong bias toward ownership and action • Familiarity with modern data platforms such as Snowflake, Databricks, and dbt • SQL proficiency or conceptual comfort with data profiling and quality principles • Experience with data quality, data governance, or observability platforms • Experience supporting technical POCs or evaluations alongside Sales or Solutions Engineering • Experience working with Product and Engineering in a feedback-driven environment

🏖️ Benefits

• Ownership and flexibility • Opportunity to collaborate directly with founders and engineers • Opportunity to help shape how the company scales